Table 2.

Multivariable Regression Models, with energy homeostasis peptide changes from 0-18 months as outcome variables and 0-18 month weight change quartiles as primary predictor variables

	Ghrelin	Leptin	Adiponectin	Insulin
Quartile 1 (0 -18 lbs gained)	−0.27^#	0.82⁺	−0.56⁺	0.37^#
Quartile 2 (0 -1.6 lbs lost)	−0.19^*	0.55⁺	−0.43⁺	0.23^*
Quartile 3 (7.6 - 18 lbs lost)	−0.04	0.32⁺	−0.24^#	0.17
Quartile 4 (18 - 77.5 lbs lost) (referent)	0	0	0	0
R²	0.09	0.48	0.23	0.14

Data presented are standardized effect sizes (β-coefficients) from linear regression models with energy homeostasis peptide changes from 0-18 months as the outcome variables; 0-18 month weight change quartiles are the primary predictor variables.

All models are controlled for baseline energy homeostasis peptide value, age, baseline weight, race, treatment group (i.e., lifestyle change vs. health education), hormone therapy (HT) status at baseline, and change in HT status from 0-18 months. Quartile 4 serves as the reference group in each model.

For each model, the R² statistic refers to the amount of variation in the outcome variable accounted for by the model. For example, 48% in the variation of leptin is explained by the final model.

p<0.05

p<0.01

⁺

p<0.001.